OmniTensor
  • Welcome
  • Introduction
    • What is OmniTensor?
    • Vision & Mission
    • Key Features
    • Why OmniTensor?
      • Current Challenges in AI
      • How OmniTensor Addresses These Challenges
  • Core Concepts
    • AI Grid as a Service (AI-GaaS)
      • Overview of AI-GaaS
      • Benefits of AI-GaaS
      • Use Cases of AI-GaaS
    • Decentralized Physical Infrastructure Network (DePIN)
      • GPU Sharing Model
      • Incentive Mechanisms
    • AI OmniChain
      • Layer 1 and Layer 2 Integration
      • AI Model Marketplace and Interoperability
    • DualProof Consensus Mechanism
      • Proof-of-Work (PoW) for AI Compute
      • Proof-of-Stake (PoS) for Validation
    • OMNIT Token
      • Overview
      • Utility
      • Governance
  • Tokenomics
    • Token Allocations
    • Token Locks
    • ERC20 Token
    • Audit
  • OmniTensor Infrastructure
    • L1 EVM Chain
      • Overview & Benefits
      • Development Tools & API
    • AI OmniChain
      • Interoperability
      • Scalability
      • Decentralized Data & Model Management
    • Nodes & Network Management
      • AI Consensus Validator Nodes
      • AI Compute Nodes (GPUs)
  • Roadmap & Updates
    • Roadmap
    • Future Features
  • PRODUCTS
    • AI Model Marketplace
    • dApp Store
    • Data Layer
    • Customizable Solutions
    • AI Inference Network
  • For the Community
    • Contributing to OmniTensor
      • Sharing Your GPU
      • Data Collection & Validation
    • Earning OMNIT Tokens
      • Computation Rewards
      • Data Processing & Validation Rewards
    • Community Incentives & Gamification
      • Participation Rewards
      • Leaderboards & Competitions
  • For Developers
    • Building on OmniTensor
      • dApp Development Overview
      • Using Pre-trained AI Models
    • SDK & Tools
      • OmniTensor SDK Overview
      • API Documentation
    • AI Model Training & Deployment
      • Training Custom Models
      • Deploying Models on OmniTensor
    • Decentralized Inference Network
      • Running AI Inference
      • Managing and Scaling Inference Tasks
    • Advanced Topics
      • Cross-Chain Interoperability
      • Custom AI Model Fine-Tuning
  • For Businesses
    • AI Solutions for Businesses
      • Ready-Made AI dApps
      • Custom AI Solution Development
    • Integrating OmniTensor with Existing Systems
      • Web2 & Web3 Integration
      • API Usage & Examples
    • Privacy & Security
      • Data Encryption & Privacy Measures
      • Secure AI Model Hosting
  • Getting Started
    • Setting Up Your Account
    • Installing SDK & CLI Tools
  • Tutorials & Examples
    • Building AI dApps Step by Step
    • Integrating AI Models with OmniTensor
    • Case Studies
      • AI dApp Implementations
      • Real-World Applications
  • FAQ
    • Common Questions & Issues
    • Troubleshooting
  • Glossary
    • Definitions of Key Terms & Concepts
  • Community and Support
    • Official Links
    • Community Channels
  • Legal
    • Terms of Service
    • Privacy Policy
    • Licensing Information
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On this page
  • Gamification Elements
  • Using CLI for Viewing Leaderboards
  1. For the Community
  2. Community Incentives & Gamification

Leaderboards & Competitions

OmniTensor fosters competition within the community by introducing leaderboards that track contributions across multiple categories, including GPU contributions, data validation, and AI model testing. These leaderboards are publicly visible and reset periodically to give newcomers a fair chance to climb the ranks.

  • Top GPU Contributors - Tracks members who contribute the most computational power over a given period. Top contributors may receive bonus OMNIT tokens, special badges, or even governance privileges within the network.

  • Data Validators of the Month - Recognizes those who have validated the highest number of datasets or provided critical feedback to improve AI models. This category not only promotes quality assurance but also allows participants to earn reputation points, increasing their credibility within the ecosystem.

Gamification Elements

OmniTensor integrates various gamified elements to make community participation more engaging:

  • Quests and Challenges - Users are periodically presented with challenges, such as contributing a certain amount of GPU power within a set timeframe or validating specific AI models. Completing these tasks earns users extra OMNIT tokens and unlocks achievements.

  • Seasonal Competitions - At the end of each season (quarterly), top performers from each leaderboard are rewarded with exclusive NFTs, special access to beta features, or additional governance tokens that grant them more influence over network proposals.

  • Incentive Multipliers - During network stress tests or major AI model launches, the OmniTensor network may apply multiplier incentives, allowing participants to earn up to 3x the regular rewards for their contributions. These events are announced in advance, encouraging maximum community engagement.

Using CLI for Viewing Leaderboards

$ omnitensor-cli leaderboard --category="gpu-contributors"
Top 3 Contributors:
1. user123 - 1200 OMNIT
2. gpu_master99 - 1150 OMNIT
3. data_wizard - 1050 OMNIT

Through the strategic use of participation rewards, leaderboards, and gamified elements, OmniTensor creates a vibrant and engaged community, where contributions to AI development are not only incentivized but also made enjoyable.

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Last updated 8 months ago